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Cloud technology: A synergistic environment for KM and generative AI

Cloud technology may have become a commodity to some extent, but it is not a simple commodity. The technology that allows cloud computing to be dynamic and agile is composed of many interrelated components, which means that when one thing goes wrong, the problem can cascade.

KMWorld Guide to KM Trends, Products, and Services
The KMWorld Guide to KM Trends, Products, and Services assists IT and business decision makers as they continue to navigate the major technologies and trends shaping digital transformation today.


QUOTE OF THE WEEK


All the evidence is consistent with stories being hardwired in the human brain.

 

- Edmund Wilson


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Knowledge Management Case Studies

Healthcare giants partner with Quadient to utilize its Intelligent Communication Automation platform

Quadient delivers powerful, reliable, and transformative solutions to drive substantial business value for highly regulated industries

TomTom utilizes Storyblok’s CMS to streamline content operations

TomTom migrated to Storyblok within 3 months and decreased content development costs by 30%, according to the company

Dolfi1920 Chooses Rootstock Software to boost its CRM and ERP

Luggage repair and claims specialist selects Rootstock Manufacturing Cloud ERP to transform global operations and support future growth  

SQream and Qantm AI empower customers to extract deeper insights from their data and accelerate AI initiatives

Qantm AI will incorporate SQream's offerings to streamline data analytics for complex insights across industries

Knowledge Management Opinions & Analysis

Will AGI be intelligent?

AGI's holistic approach not only could enhance the accuracy and reliability of its decisions, but it would also mirror the interconnectedness of the real world.

Pushing the boundaries of knowledge curation

Knowledge democratization occurs in two directions, seemingly engaged in an endless tug of war: acquisition and dissemination.

The third place of knowledge management

The third place I alluded to goes far beyond mechanistic KM or curated knowledge and takes us into the actual world of tacit knowledge. Here, knowledge comes from and often remains as personal experience, impressions, and intuition; it's undocumented and often hidden and elusive.

Should we go back to paper-based KM?

The sheer volume of largely useless data we have accumulated across the years severely limits the ability of AI to work well, and it comes at a heavy environmental and financial cost.

Knowledge Management White Papers

Extracting knowledge from your data

Unified Data Layer

2024 KMWorld Guide to KM Trends, Products, and Services

Unlocking the Power of Knowledge Management for Enterprise AI with Anzo and Knowledge Guru

Knowledge Management Research

Toward Greater Visibility in Today's Knowledge World: 2024 Survey on Information Sharing and Transparency

Sponsored by: ProcedureFlow

eGain - The state of Knowledge Management in 2023: Untapped Potential for Business Value - Survey

TRANSFORMING ENTERPRISE KNOWLEDGE: THE JOURNEY TO SAFE, SECURE, AND TRUSTWORTHY AI - Survey

A Knowledge-Streaming Enterprise for Turbulent Times: 2020 KMWorld Digital Transformation Research - Survey